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From the Divisions of Public Health Sciences,* Human Biology,
and Clinical Research,
Fred Hutchinson Cancer Research Center, Seattle, Washington; the Department of Pathology,¶ University of Washington, Seattle, Washington; the Department of Pathology,|| Baylor College of Medicine, Houston, Texas; and the Prostate Center at Vancouver General Hospital,
Vancouver, British Columbia, Canada
| Abstract |
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Matriptase and components of the HGF pathway have been shown to influence several aspects of epithelial carcinogenesis. In addition to cleaving and activating latent hepatocyte growth factor/scatter factor (HGF/SF),8 matriptase also cleaves and activates urokinase (uPA) and protease-activated receptor 2 (PAR2). These proteases along with hepsin, a matriptase-related protease degrade the extracellular matrix and thereby regulate cell-cell and cell-matrix adhesion, promoting tumor invasion and metastasis.6,12-14 Hepatocyte growth factor/scatter factor (HGF/SF) is a mesenchymal cytokine that is secreted in its proform and requires proteolytic cleavage to gain activation.7,8,15,16 Two-chain HGF/SF binds to the Met cell surface receptor and induces its cytoplasmic kinase activity.17 The HGF/SF/Met system is a classic mechanism of mesenchymal-epithelial interactions, which triggers tumor cell invasion and metastasis and under certain conditions, tumor growth.18 The serine proteases, HGFA, matriptase, and uPA can convert latent HGF/SF into its active form.8,19,20
Although matriptase, Met, and HGF have been studied in the context of prostate cancer, the evaluation of HAI-1 expression has not been reported. However, HAI-1 expression has been examined in carcinomas of the gastrointestinal tract, breast, and ovary. In most cancers, the expression of matriptase and HAI-1 is increased in cancerous compared to normal tissues.12 Further, HAI-1 expression is elevated in regenerating mucosa associated with colitis in the gastrointestinal tract.21 In contrast, during oncogenic transformation of colonocytes, HAI-1 expression decreases,22 tilting the balance to an increase in HGFA activity in colon cancer cells. This leads to the production of active and prometastatic HGF/SF on the cell surface. In ovarian cancer, matriptase expression increases with tumor grade, while HAI-1 protein expression decreases.23 High-grade ovarian cancers commonly express matriptase without concomitant HAI-1 expression, but there is no correlation between matriptase or HAI-1 expression and patient survival. Two separate studies analyze the expression and prognostic relevance of matriptase/HGFA and HAI-1/HAI-2 in breast cancer and clearly show that their expression is deregulated. Kang and colleagues24 report that high levels of HAI-1, matriptase, and Met are associated with poor patient outcome in a cohort of 330 node-negative breast cancer patients with more than 30 years of follow-up. Although there was a significant association between Met, HGF/SF, and matriptase expression in breast carcinoma, the expression of HAI-1 was independent of the other three proteins, suggesting that HAI-1 expression is regulated via a mechanism different from matriptase and the HGF/SF/Met pathway.24 Although HAI-1 expression was an important predictor of disease outcome in the study of Kang and colleagues,24 in a study by Parr and colleagues,25 decreased expression of HAI-2 and not of HAI-1 was significantly associated with late stage, poorly differentiated breast cancer. Because expression of HAI-1 and HAI-2 was not correlated in cell lines, their regulation of expression may differ among various cancer systems.26
We have recently shown that HAI-1 processing is regulated by androgen in the LNCaP prostate cancer cell line.11 Using a quantitative proteomic analysis of protein released into the culture medium, the abundance of proteolytically cleaved HAI-1 increased after androgen stimulation, while the total amount of HAI-1 protein in the whole cell lysate remained constant. In addition, protein levels of matriptase in the cell lysate increased after androgen stimulation. Thus, androgen stimulation results in a coordinated increase in matriptase expression and HAI-1 inhibitory activity,11 a combination of events that could enhance prostate tumorigenicity. The current study was designed to determine whether alterations in HAI-1 expression occur as a result of oncogenic transformation in the prostate, if HAI-1 protein expression is regulated by androgen in vivo, and if HAI-1 could serve as a prognostic marker for patients with localized prostate cancer.
| Materials and Methods |
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The HAI-1 goat polyclonal antibody was purchased from R&D Systems, Minneapolis, MN; c-Met antiserum was obtained from Santa Cruz, Santa Cruz, CA; and cytokeratin, CK5/6, from DAKO, Carpinteria, CA. LNCaP and PC-3 were cultured in RPMI 1640 supplemented with 10% fetal bovine serum.
Tissue Microarray (TMA) Cohorts
TMA1: Benign and Cancerous Prostate Tissues
Tissues from 69 archival prostatectomies containing Gleason pattern 3 or 4 were obtained under an institutional review board-approved protocol and patient identifiers were removed before the release of tissue blocks from the pathology department. Six cores of tissue per patient were obtained from areas of cancer and normal in the same block according to preservation of p27 staining positivity in normal glands. The fixation-sensitive marker, p27, was used to identify those areas that are properly fixed in an attempt to improve the quality of tissue on the TMA.28
TMA2: Neoadjuvant Hormonal Therapy (NHT) Prostate Tissues
Tissues from patients treated with NHT are from Vancouver General Hospital and were described previously.29 Briefly for this study, a total of 166 specimens were evaluated on the TMA. Specimens and treatment information were obtained under an institutional review board-approved protocol from hormone-naïve patients, and after treatment with NHT for <3 months, 3 to 6 months, and 6 to 8 months. Prostate-specific antigen (PSA) levels at the time of surgery were used to confirm treatment groups. Three samples per tumor specimen were arrayed.
TMA3: Outcomes Cohort
Tissue were obtained from 640 patients who underwent a radical prostatectomy at Baylor College of Medicine. Clinical data of patient follow-up were retrieved from the prostate SPORE patient database. Clinical characteristics of patients: age of patients ranged from 37 to 80 years with a mean of 62 years and a median of 63 years. The patients were followed postoperatively for an average of 42.08 ± 33.2 months (mean ± SD; median, 45.2 months; maximum, 167.74 months). Preoperative PSA (pre-PSA) level was available in 603 PCa cases and ranged from 0.3 to 100 ng/ml with a median of 7.2 ng/ml and a SD of 10.99 ng/ml. Approximately 30% percent of the patients had a pre-PSA level >10.5 ng/ml. Approximately 7% had a Gleason score less than 6 and 85% had a Gleason score of 6 or 7, whereas 8% had a higher Gleason score.7-9 Lymph node metastasis was found in 40 (6.4%) patients, and biochemical recurrence was seen in 120 patients (19.3%). Extracapsular extension was found in 44.5%, margins were positive in 15.3%, and seminal vesicle invasion had occurred in 12.4% of the patients.
TMA4: Metastasis Cohort
Tissues were obtained from the rapid autopsy program at the University of Washington. Patients and families are consented and tissues from multiple organ sites are obtained under an institutional review board-approved protocol, following a systematic tissue collection scheme. Slides were analyzed for the presence of metastatic cancer and three cores with cancer were transferred from each block onto the TMA. Tissues from 10 patients are displayed on the TMA, including multiple metastatic sites from each patient.
Tissue Microarray Construction and Sectioning
The TMAs were constructed using either a manual tissue arrayer or the ATA-27 tissue arrayer (both from Beecher Instruments, Silver Spring, MD). The index tumor, defined as the largest and/or highest Gleason score tumor was identified on the slide and areas representative of the highest Gleason grade were circled. Biopsies of 0.6-mm-diameter triplicate cores were obtained from donor blocks and embedded into a single recipient block. Five-µm sections were cut with a microtome by use of an adhesive-coated tape sectioning system (Instrumedics, Hackensack, NJ) to support the adhesion of the array elements. The final outcome array set consisted of 15 blocks with 9 cores for every 1 of the 640 patients for a total of
6000 cores (large outcomes array).
Immunohistochemistry
TMA slides, containing 5-µm-thick tissue cores were deparaffinized and rehydrated. Slides were treated with 0.3% hydrogen peroxide for 10 minutes at room temperature and antigen retrieval for HAI-1 and CK5/6 was performed for 20 minutes in a Black and Decker vegetable steamer in 10 mmol/L citrate buffer (pH 6.0). For Met and AR, 1 mmol/L ethylenediamine tetraacetic acid (EDTA), pH 8.0, was used for 30 and 20 minutes, respectively. Slides were cooled for 20 minutes. Blocking occurred with 1% bovine serum albumin (BSA) in phosphate-buffered saline (PBS) for 10 minutes, and incubation with primary antibodies was performed for 1 hour at room temperature. HAI-1 (affinity-purified goat anti-human antiserum; R&D Systems Inc.) was diluted 1:50, Met 1:300, AR 1:200, and CK5/6 1:50. Slides were washed in PBS/BSA/1% Triton X-100. Biotinylated secondary antibody was used at 1:200 for 30 minutes. Bound antibodies were visualized with the Vector Elite ABC reagent (Vector Laboratories, Burlingame, CA), used according to the manufacturers instructions, 0.05% diaminobenzidine enhanced with ferric chloride for 7 minutes, followed by counterstaining with Mayers hematoxylin, and coverslipped.
Immunohistochemistry Scoring
The basic and NHT TMAs were scored as described previously.30 Briefly, stained slides were imaged using the BLISS system (Bachus Laboratories). Cores were visualized with a Web-based image display at x20 magnification. To assist with diagnostic interpretation in NHT tissues, hematoxylin and eosin- and CK5/6-stained replicate array slides were used. In untreated tissue cores, Gleason patterns were assigned to areas of cancer, if they consisted of more than three glands. Normal tissue was evaluated for the presence of atrophy and atrophy was analyzed in a separate category for expression levels of HAI-1.
A scoring system incorporating staining intensity parameters and percentage of cell reactivity was used for determining the overall HAI-1 expression in each of four morphological categories, normal (secretory) epithelium, atrophy, PIN, and invasive carcinoma. Each tissue core was used as an independent sample and multiple histological entities of cancer and normal could co-exist in the same core. Four categories of staining were defined: no stain, faint, moderate, and intense. The percentage of cells falling into each of these categories was estimated by one (basic TMA) or two (NHT TMA) study pathologists and used to compute a single score as follows: score = 0 x (percent with no stain) + 1 x (percent with faint stain) + 2 x (percent with moderate stain) + 3 x (percent with intense stain). The minimal score was 0 and the maximal score was 300. When two tissue types (eg, PIN, cancer) were present in the same TMA score, a separate score was calculated for each tissue type. Outcome TMAs were analyzed at Baylor College of Medicine using a categorical scoring scheme with scores from 1 (no staining) to 9 (intense staining).
cDNA Microarrays and Data Analysis
Prostate surgical specimens were obtained with informed consent from 27 patients at the University of Washington Medical Center and were selected based on their grade and absence of any treatment before prostatectomy. Five thousand epithelial cells from normal or cancerous glands were captured by laser-capture microdissection (LCM) using the Arcturus PixCell II (Arcturus, Mountain View, CA). Only one Gleason pattern was included in each laser-captured cancer sample. A total of 32 different Gleason patterns were captured from the 27 patients. Isolated RNA was amplified in two rounds (MessageAmp aRNA kit; Ambion, Austin, TX) and 2-µg aliquots of amplified RNA were indirectly labeled by amino-allyl reverse transcription and hybridized to the human prostate expression data base (PEDB) and human 18K microarrays as described previously.31 Individual Gleason samples were co-hybridized patient-matched normals in duplicate (dye-swaps.) Fluorescent array images were collected for both Cy3 and Cy5 using a GenePix 4000B fluorescent scanner (Axon Instruments, Foster City, CA). The image intensity data were gridded and extracted using GenePix Pro 4.1 software and spots of poor quality determined by visual inspection were removed from further analysis. Normalization of the Cy3 and Cy5 fluorescent signal on each array was performed using Silicon Genetics GeneSpring 6.2 software (Silicon Genetics, Redwood City, CA.) Data from the two duplicate cDNAs spots on each PEDB chip were combined and the average ratios were used for comparative analyses. To compare the overall expression patterns of all cancer samples divided by their patient-matched normal, log2 ratio measurements were statistically analyzed using the statistical analysis of microarrays (SAM) procedure32 (http://www-stat.stanford.edu/_tibs/ SAM/).
Androgen Treatment and Fluorescence-Activated Cell Sorting Analysis
LNCaP and PC3 cells were grown to 40% confluency in RPMI 1640 media supplemented with 10% fetal bovine serum. They were subsequently washed three times in PBS and grown in serum-free RPMI 1640 for 48 hours at which point half of the flasks of each cell line were supplemented with 10 nmol/L R1881. After 24 hours of R1881 stimulation cells were prepared for cell surface labeling of HAI-1 as follows: the cells were washed twice in trypsin-free PBS/EDTA and then incubated for 10 minutes at 37°C in the same PBS/EDTA. Once lifted off of the growing surface, dispersed cells were transferred to a 50-ml tube. After 5 minutes of centrifugation at 700 rpm they were resuspended in a solution of PBS/EDTA and 5% BSA. Cells were counted, diluted, and aliquoted into 100-µl fractions that contained 5 x 105 cells. Each sample was then incubated on ice for 1 hour with a 1:50 dilution of anti-HAI-1 or control goat IgG. After repeated washing each cell pellet was resuspended in ice-cold PBS/EDTA with 1% BSA. Cells were then labeled with a 1:1000 dilution of rabbit anti-goat Alexa 488 in the dark, on ice, for 30 minutes. After extensive washing in ice-cold PBS/EDTA with 1% BSA the cells were resuspended and fixed in 1 ml of 2% paraformaldehyde/PBS and subjected to flow cytometric analysis. Cells were analyzed on a FACScan Calibur flow cytometer (Becton Dickinson Immunocytometry System, San Jose, CA) and collected data were postprocessed using the associated CellQuest software package.
Statistical Analysis
Box Plots
Box plots were obtained by entering cell type (normal-secretory, atrophy, PIN, cancer) and treatment-specific HAI-1 expression scores for each core into the statistical package R Version 1.9.0., which contains a function for creating boxplots.33
Comparison of HAI-1 Expression Levels across Cell Types
The slope parameter and its associated P value describe the association between the cell type (normal-secretory, atrophy, PIN, cancer) and HAI-1 expression. To test the association between cell type (normal-secretory, atrophy, PIN, cancer) and score, we used generalized estimating equations. This technique allows us to correctly estimate the relationship between score and cell type while accounting for the correlation that arises among observations from the same patient. The models fit using generalized estimating equations were simple regression models of the form: HAI-1 score = intercept + slope* (cell type) or HAI-1 score = intercept + slope* (treatment).
HAI-1 Expression and Correlation with PSA Recurrence
To determine the correlation between the HAI-1 staining intensity and PSA recurrence, we used a Cox proportional hazards model fit using the statistical package R Version 1.9.0.
Interobserver Correlation
To assess the reliability of HAI-1 expression scoring, two independent pathologists scored the same tissue microarray. We then calculated the Pearson correlation of the tissue diagnoses (cell-type designation: present or absent) within each category (normal-secretory, atrophy, PIN, cancer) to evaluate the interobserver variability between the two pathologists. Using cores where the cell type designation matched, we calculated the Pearson correlation between two pathologists of HAI-1 expression scores for each cell type.
| Results |
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In the normal prostate epithelium, a continuous layer of basal epithelial cells underlies a luminal, columnar, secretory cell layer. Basal cells differentiate into secretory cells transitioning through in intermediate/rapidly proliferating compartment.34
Intermediate cells are abundant in atrophic or regenerative glands where they form the luminal cell layer.35,36
There are several histological categories of atrophy, including postatrophic hyperplasia, in which cell proliferation is increased and which may thus represent a regenerative process.37
Cytokeratin 5 (CK5) and the Met receptor tyrosine kinase are highly expressed in basal and in suprabasal, intermediate prostate epithelial cells.36,38
Although CK5 is not expressed in secretory cells, Met staining occasionally appears in secretory cells at the basolateral plasma membrane. To visualize and distinguish the basal, intermediate, and secretory cell compartments, we stained consecutive sections from radical prostatectomy specimens with CK5 (Figure 1B)
, Met (Figure 1C)
, and androgen receptor (AR) antibodies (Figure 1D)
. Cells that stain CK5+/Met+ and AR and that adhere to the basement membrane are identified as basal epithelial cells. CK5+/Met+ and weakly AR-positive cells situated above a basal cell layer represent intermediate cells (Figure 1
, long arrows) and CK5, weakly Met, and strongly AR staining cells are identified as secretory cells. In comparison with CK5, Met, and AR staining, HAI-1 protein in a parallel tissue section is expressed in the basal and intermediate cells of the normal prostate epithelium (Figure 1A)
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0.01).
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HAI-1 expression was restricted to the prostate epithelium and no HAI-1 protein was detectable in the prostate stroma by immunohistochemistry. To investigate whether HAI-1 protein expression is regulated by androgen in normal prostate epithelium in vivo, we compared patients who received no treatment before radical prostatectomy and patients who were treated for increasing periods of time with androgen-ablative therapy before radical prostatectomy. Androgen-ablative treatment caused atrophy and basal cell hyperplasia in the normal prostate epithelium. HAI-1 expression decreased significantly after 3 months of androgen-ablative therapy in atrophic epithelium (P<3 m, >3 m = 0.03). In Figure 3, A and B
, HAI-1 expression in atrophic epithelium is demonstrated, next to cancer. In both cases the cancer stains positive, however adjacent atrophic epithelium is only positive in the untreated case. Comparing untreated patients with patients who received androgen-ablative therapy reveals that there is a significant decrease of HAI-1 expression starting after 3 months of androgen-ablative treatment. Although there was no difference between no treatment and less that 3 months treatment, HAI-1 expression was significantly reduced in the 3 to 6 months and greater than 6 months treatment groups (Figure 3C)
. Secretory epithelium was negative in all cases (P<3 m, >3 m = 0.249). Thus, under prolonged low-circulating androgen concentrations, HAI-1 expression declines in basal and intermediate cells of atrophic epithelium. This clearly shows that in nonmalignant epithelial cells, HAI-1 protein expression is regulated by androgen.
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The abundance of transcripts encoding proteins of the HGF/SF/Met activation system was compared between normal and cancerous prostate epithelium using cDNA microarray analysis. RNA was extracted from 30 cases of matched laser-microdissected normal and neoplastic prostate epithelium, amplified, and hybridized to microarrays comprised of
21,000 cDNAs. A one-sample t-test comparing cancer to normal ratios identified 4483 cDNAs with significant differential expression (FDR
0.1%). There was a significant decrease in Met and urokinase (uPA) RNA expression in tumor compared to normal prostate epithelium with an average fold-change for Met of 1.6 and for uPA of 1.5. A simple explanation for this result is the high expression of Met and uPA in normal basal epithelial cells, which are absent in prostate cancer. There was no significant expression difference between normal and cancer for HGF/SF, HAI-1, HAI-2, matriptase, or the uPA receptor (Figure 4A)
. In addition, there was no significant difference in RNA expression change across Gleason grades 3, 4, and 5 (FDR
3.47%).
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Androgen Deprivation Does Not Alter HAI-1 Protein Expression in Prostate Cancer
Previous experiments have demonstrated that androgens modulate the secretion or release of HAI-1 in vitro.11 To extend these findings, we sought to determine whether androgens influence HAI-1 expression in vivo. The same TMA that was analyzed for androgen-regulated HAI-1 expression in normal tissues was evaluated for changes in HAI-1 protein expression in prostate cancer after androgen ablation. In 174 cores that contained prostate cancer, the median HAI-1 expression score was 100 in androgen-intact (n = 49) and 120 in androgen-deprived (n = 125) tissues (P = 0.167), indicating that HAI-1 expression did not change after androgen deprivation (data not shown). Even after androgen ablation for longer than 6 months, the expression of HAI-1 protein remained unchanged. The interobserver correlation for the four diagnostic groups (secretory, atrophic, PIN, and cancer) and for the scoring of staining intensities was greater than 0.69 in all categories. Remarkably, the overexpression of HAI-1 protein in cancer compared to normal was consistent between the two TMAs (TMA1 and TMA2), which display tissues of patients from different cohorts, different years and protocols of tissue collection and processing, and different institutions and surgeons. However, TMA2 containing the androgen-deprived tissues was less intensely stained overall and the mean HAI-1 staining intensity in atrophic epithelium of untreated cases in TMA2 was 30, whereas it was 150 in TMA1.
Androgen Stimulates the Release of HAI-1 from the Cell Surface
Although androgen deprivation did not induce a measurable change in HAI-1 protein levels in vivo, androgen stimulation clearly reduced cell surface expression of HAI-1 in cell culture experiments. HAI-1 expression was reduced after androgen stimulation of androgen-sensitive LNCaP cells, but not androgen-insensitive PC-3 cells (Figure 5)
. This finding is consistent with the cleavage of HAI-1 from the cell surface and not an accelerated secretion of intercellular HAI-1. We previously demonstrated that HAI-1 protein accumulates in the conditioned medium of LNCaP cells after androgen stimulation and that the size of the two HAI-1 bands on Western blot suggested proteolytic cleavage.11
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Previous studies have demonstrated correlations between HAI-1 expression and aggressive behavior in several tumor types. We next questioned whether HAI-1 expression levels in prostate cancer tissues predicted cancer progression as measured by PSA recurrence after prostatectomy. Tissue arrays of 614 patients with clinical follow-up for more than 3 years after radical prostatectomy were analyzed for HAI-1 expression and 299 patients had interpretable HAI-1 staining in cancer. The association of HAI-1 staining intensity and PSA recurrence was assessed using a Cox proportional hazards model. The model included the log of the PSA level before radical prostatectomy, seminal vesical invasion status, margin status, Gleason sum, and HAI-1 expression score. There was a significant association between HAI-1 expression and increased risk of PSA recurrence. HAI-1 expression was independent of other clinical variables, including Gleason grade. The relative risk for recurrence was 1.24 for HAI-1 expression and >2.0 for several clinical and histopathological variables (Table 1)
. Because of this weak association with patient outcome, it is unlikely that HAI-1 by itself would be of clinical utility as a marker of prostate cancer progression.
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Because HAI-1 expression was associated with unfavorable prognosis indicating increased risk for prostate cancer recurrence, we analyzed the expression of HAI-1 in prostate cancer metastases. HAI-1 protein expression was maintained after tumor growth at distant sites. However, there was no measurable difference in HAI-1 expression between localized and metastatic prostate cancer, and HAI-1 expression did not differ between metastasis involving different sites such as lymph node, bone, and soft tissues (Table 2)
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| Discussion |
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Although in prostate cancer the expression of HAI-1 protein was significantly higher than in normal prostate epithelium, this difference was not apparent at the RNA expression level. Thus, it is possible that HAI-1 protein expression in cancer is regulated translationally or posttranslationally. Under these circumstances we would not expect RNA levels to be different. Alternatively it is conceivable that similar levels of RNA expression in normal and cancer result from the differences in cell types that exist in normal and cancerous epithelium. Even though there was a marked difference in HAI-1 protein expression comparing normal secretory epithelial cells and cancer cells, this difference was diminished comparing basal epithelial cells and cancer cells. Because basal and secretory epithelial cells are not separated during the laser capture microdissection of normal glands, the basal epithelial cells may be the main contributors of HAI-1 RNA in the normal samples. Therefore, the basal cells will mask RNA expression differences between normal and cancerous epithelium.
Based on current knowledge of HAI-1 function, the increased expression of HAI-1 in prostate cancer is puzzling and counterintuitive. Why would expression of a protease inhibitor be increased in cancer and why would this increased expression level be associated with a small, but statistically significant increased incidence of PSA recurrence? In support of our results, a positive correlation between HAI-1 and adverse prognosis was identified previously in breast cancer.24 A similar observation exists for the well-characterized plasminogen activator inhibitor, PAI-1.40 As an explanation for the inverse correlation of PAI-1 and disease-free survival, the pleiotropic effects of PAI-1 have been emphasized. A similar scenario may underlie the observed HAI-1 expression pattern in this study: HAI-1 may participate in activating as well as in inhibiting the cell surface-associated serine proteases, matriptase and HGFA. However, this hypothesis is based on in vitro data and requires in vivo validation, which may be possible through a recently published antibody that specifically binds to the active form of matriptase.25
Functionally altered HAI-1 expression could have important effects on interactions between epithelium and constituents of the microenvironment. The HGF/SF/Met ligand-receptor system represents a classic mechanism for mesenchymal-epithelial crosstalk, and its role in prostate cancer development has recently been demonstrated in a genetically altered mouse model.41 Cuhna and colleagues42 have demonstrated the important inductive influence of stoma on normal prostate morphogenesis; a process that depends on an intact androgen signaling pathway in the stroma. To date, the HGF/SF/Met axis has not been associated with androgen effects. HGF/SF is secreted in its latent form exclusively from prostate stromal cells27 and may reach the epithelium in an inactive conformation. On the surface of epithelial cells, single-chain HGF/SF can be activated through cleavage by the cell surface-associated serine proteases. Matriptase is specifically regulated by HAI-1 and HAI-2. Although matriptase is considered a critical activator of HGF/SF, it is not the only one. Matriptase knockout mice do not display the embryonic lethal phenotype of the HGF/SF or Met knockout.43-45 Because the early lethality of HGF/SF and Met knockout mice results from the role of Met in angiogenesis and liver development, the lack of resemblance in phenotypes of the matriptase and HGF/SF knockout mice is not surprising. In addition, HGF/SF knockout mice display a defect in myosite migration and organization, caused by the disruption of autocrine Met activation in mesenchymal cells. Together these and the current study suggest that differences in proteolytic activation of HGF/SF may exist between mesenchymal, endothelial, and epithelial cells. Further studies are required to determine whether the androgen-mediated release of HAI-1 from epithelium influences the effects of mesenchymally-derived HGF in the context of normal prostate development or carcinogenesis.
Although androgenic effects on prostate stromal cells are the prime regulators of stromal-epithelial interactions in the prostate, this study illustrates an androgen-dependent regulatory mechanism for growth factor activation by prostate epithelial cells. Thus, androgenic stimulation of prostate epithelial cells could modulate the proteolytic environment on the cell surface and the conversion of latent to active stromally-derived growth factors.
We present in vivo evidence that androgen regulates HAI-1 protein expression in atrophic epithelium and that HAI-1 protein expression significantly increases with oncogenic transformation of prostate epithelium. In addition, HAI-1 expression is predictive of PSA recurrence in a high-risk group of patients with prostate cancer.
| Note Added in Proof |
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| Acknowledgements |
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| Footnotes |
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Supported by the National Institutes of Health (grants (SPORE CA97186 and CA85859 and CA97282 to D.M.) and the Damon Runyon Cancer Foundation (clinical scholar award to P.S.N.).
Accepted for publication April 18, 2005.
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